Evidence map›Paper›PMID 41949725›Full record

ArticleInsights into imaging2026

Performance comparison of gadoxetic and extracellular MRI in diagnosing subcentimeter recurrent HCC after hepatectomy: a modified algorithm.

Yuyao Xiao, Fei Wu, Changwu Zhou, Peng Huang, Cheng Wang, Haoran Dai, Xinyue Liang, Xi Jia, Mengsu Zeng

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Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Yuyao Xiao *Shanghai Institute of Medical Imaging, Shanghai, China.
Fei Wu *Shanghai Institute of Medical Imaging, Shanghai, China.
Changwu Zhou *Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Peng HuangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Cheng WangShanghai Institute of Medical Imaging, Shanghai, China.
Haoran DaiDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xinyue LiangShanghai Institute of Medical Imaging, Shanghai, China.
Xi JiaDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Mengsu ZengShanghai Institute of Medical Imaging, Shanghai, China. zengmengsu20210116@163.com.ORCID http://orcid.org/0000-0002-2759-4844

Funding

National Natural Science Foundation of China 82171897National Natural Science Foundation of China 82371923The science and technology project of Yangzhou YZ2024125
6 · The paper itself

Abstract

objectivesTo compare the performance of gadoxetic acid-enhanced MRI (EOB-MRI) and extracellular contrast agent-enhanced MRI (ECA-MRI) for diagnosing subcentimeter recurrent HCC. MATERIALS AND

methodsBetween January 2017 and December 2023, patients with newly detected suspicious subcentimeter hepatic lesions who underwent both EOB-MRI and ECA-MRI after HCC hepatectomy were retrospectively and consecutively included and divided into training and time-independent test sets. The generalized estimating equation model identified significant MR characteristics in the training set. Diagnostic performances of typical vascular pattern and modified diagnostic algorithms were calculated and compared using the McNemar test in both sets.

resultsA total of 153 patients (mean age, 55.30 ± 11.09; 118 men) with 185 subcentimeter lesions were included. Typical vascular pattern exhibited comparable but unsatisfactory performance across modalities (both sensitivity < 0.50). In the training set, the optimal modified algorithms for EOB-MRI and ECA-MRI combined all identified significant MR characteristics: T2WI mild-to-moderate hyperintensity, nonperipheral washout (on PVP/TP for EOB-MRI; on PVP/DP for ECA-MRI), and restricted diffusion. Both modified algorithms maintained a comparable high specificity compared to the typical vascular pattern. However, the EOB-MRI-based algorithm demonstrated significantly higher sensitivity than the typical vascular pattern (training set, 0.812 vs. 0.400, p < 0.001; time-independent test set, 0.792 vs. 0.375, p = 0.006), an improvement not observed with the ECA-MRI-based algorithm. Furthermore, EOB-MRI-based modified algorithm demonstrated higher sensitivity than its ECA-MRI counterpart (training set, 0.812 vs. 0.425, p < 0.001; time-independent test set, 0.792 vs. 0.417, p = 0.004), with comparable specificity.

conclusionEOB-MRI with a modified algorithm exhibited superior diagnostic performance for subcentimeter recurrent HCC when compared with ECA-MRI. CRITICAL RELEVANCE STATEMENT: This study provides evidence comparing gadoxetic and extracellular MRI in diagnosing subcentimeter recurrent HCC, highlighting the superior diagnostic performance of EOB-MRI-based modified algorithm and its potential to optimize surveillance strategies and clinical decision-making. KEY POINTS: Early detection of subcentimeter recurrent HCC optimizes treatment windows. EOB-MRI-based modified algorithm improves sensitivity while maintaining high specificity. EOB-MRI-based modified algorithm expedites diagnosing subcentimeter recurrences, ultimately facilitating salvage treatment.

Indexed as

Diagnosis criteriaLiver neoplasmsMagnetic resonance imaging

Identifiers

PMID41949725
PMCPMC13062055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.